Getting Brainy in Brisbane: NVIDIA Talks Robots, Research at ICRA

We’re bringing NVIDIA researchers — the brains behind our bots — to the International Conference on Robotics and Automation (ICRA) in Brisbane, Australia, from May 21-25. And they want to meet you.

Held annually since 1984, ICRA has become a premier forum for robotics researchers from across the globe to present their work.

The conference is a great opportunity to meet our team, go in-depth with our recent work shaping robotics research and development, and learn how NVIDIA GPUs and AI are powering the biggest advancements in autonomous machines.

From conference talks and poster sessions to two nights of meetups, ICRA will be chock-full of opportunities to connect with some of the sharpest minds in robotics and automation. You can score a deal on an NVIDIA Jetson TX2 Developer Kit, too.

Stop by ICRA stands 7 and 8 to sync with our recruiting team to learn more about careers at NVIDIA.

Get Some Face Time with the Brains Behind Our Bots

Two amazing new members of our robotics team will be at ICRA all week long.

Meet the NVIDIA researchers who are driving the latest robotic innovations.

Claire Delaunay, vice president of engineering, will be hosting evening meetups May 21 and 22 at the iconic Fox Hotel (more on that below). She’ll be joined by Dieter Fox, who heads up our robotics lab.

For more than a decade, Delaunay has led robotics teams at startups, research labs and big companies, including Google, where she was the program lead.

Most recently she co-founded Otto, which was acquired by Uber, where she served as director of engineering before coming to work with us to develop robotic solutions.

Fox joined NVIDIA to head our robotics research lab in Seattle. The goal of the lab is to develop the next generation of robots that can robustly manipulate the physical world and interact with people naturally.

He also runs the University of Washington Robotics and State Estimation Lab, where his research focuses on robotics with strong connections to AI, computer vision and machine learning.

Join Fox and his colleagues throughout the week at conference talks and poster sessions:

“Re3: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects” – Robust object tracking requires knowledge and understanding of the object being tracked: its appearance, its motion and how it changes over time. A tracker must be able to modify its underlying model and adapt to new observations. Re3 is a real-time deep object tracker capable of incorporating temporal information into its model.